- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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A High Mobility of Up to 13 cm?2V <sup>a??1</sup> s <sup>a??1</sup> in Dinaphttho-Thieno-Thiophene Single-Crystal Field-Effect Transistors via Self-Assembled Monolayer Selection
摘要： This paper studies the electric vehicle (EV) charging scheduling problem to match the stochastic wind power. Besides considering the optimality of the expected charging cost, the proposed model innovatively incorporates the matching degree between wind power and EV charging load into the objective function. Fully taking into account the uncertainty and dynamics in wind energy supply and EV charging demand, this stochastic and multistage matching is formulated as a Markov decision process. In order to enhance the computational efficiency, the effort is made in two aspects. Firstly, the problem size is reduced by aggregating EVs according to their remaining parking time. The charging scheduling is carried out on the level of aggregators and the optimality of the original problem is proved to be preserved. Secondly, the simulation-based policy improvement method is developed to obtain an improved charging policy from the base policy. The validation of the proposed model, scalability, and computational efficiency of the proposed methods are systematically investigated via numerical experiments.
关键词： renewable energy,simulation-based policy improvement (SBPI),smart grid,Electric vehicle (EV)
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Reformed Mesoporous Ge for Substrate Reuse in III-V Solar Cells
摘要： We describe the general concept and practical feasibility of a dc-based open energy system (OES) that proposes an alternative way of exchanging intermittent energy between houses in a local community. Each house is equipped with a dc nanogrid, including photovoltaic panels and batteries. We extend these nanogrids with a bidirectional dc–dc converter and a network controller so that power can be exchanged between houses over an external dc power bus. In this way, demand-response fluctuations are absorbed not only by the local battery, but can be spread over all batteries in the system. By using a combination of voltage and current controlled units, we implemented a higher-level control software independent from the physical process. A further software layer for autonomous control handles power exchange based on a distributed multiagent system, using a peer-to-peer like architecture. In parallel to the software, we made a physical model of a four-node OES on which different power exchange strategies can be simulated and compared. First results show an improved solar replacement ratio, and thus a reduction of ac grid consumption thanks to power interchange. The concept’s feasibility has been demonstrated on the first three houses of a full-scale OES platform in Okinawa.
关键词： microgrid,power transmission,power system control,dc interconnected power system,smart grid,dc power distribution,DC–DC converter
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Enabling ultrathin III-V solar cells using dual photonic crystals
摘要： This paper presents a significant change in current electric power grid response and recovery schemes by developing a framework for proactive recovery of electric power assets with the primary objective of resiliency enhancement. Within the proposed framework, which can potentially present the next generation decision-making tool for proactive recovery, several coordinated models will be developed including: 1) the outage models to indicate the impact of hurricanes on power system components; 2) a stochastic pre-hurricane crew mobilization model for managing resources before the event; and 3) a deterministic post-hurricane recovery model for managing resources after the event. Proposed models will be extended to ensure applicability to a variety of electric power grids with different technologies and regulatory issues. The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its flexibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
关键词： resiliency,smart grid,recovery,restoration,Natural disaster
更新于2025-09-19 17:13:59
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[IEEE 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) - Hohhot, China (2019.10.24-2019.10.26)] 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) - Video Based Fire Detection in Photovoltaic System
摘要： This paper presents a novel energy-management method for a microgrid that includes renewable energy, diesel generators, battery storage, and various loads. We assume that the microgrid takes part in a pool market and responds actively to the electricity price to maximize its profit by scheduling its controllable resources. To address various uncertainties, a risk-constrained scenario-based stochastic programming framework is proposed using the conditional value at risk method. The designed model is solved by two levels of stochastic optimization methods. One level of optimization is to submit optimal hourly bids to the day-ahead market under the forecast data. The other level of optimization is to determine the optimal scheduling using the scenario-based stochastic data of the uncertain resources. The proposed energy management system is not only beneficial for the microgrid and customers, but also applies the microgrid aggregator and virtual power plant. The results are shown to prove the validity of the proposed framework.
关键词： energy management,Controllable load,stochastic optimization,microgrid,risk management,smart grid,renewable energy,electricity market
更新于2025-09-19 17:13:59
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[IEEE 2019 Winter Simulation Conference (WSC) - National Harbor, MD, USA (2019.12.8-2019.12.11)] 2019 Winter Simulation Conference (WSC) - On the Consequences of Un-Modeled Dynamics to the Optimality of Schedules in Clustered Photolithography Tools
摘要： This paper presents a signi?cant change in current electric power grid response and recovery schemes by developing a framework for proactive recovery of electric power assets with the primary objective of resiliency enhancement. Within the proposed framework, which can potentially present the next generation decision-making tool for proactive recovery, several coordinated models will be developed including: 1) the outage models to indicate the impact of hurricanes on power system components; 2) a stochastic pre-hurricane crew mobilization model for managing resources before the event; and 3) a deterministic post-hurricane recovery model for managing resources after the event. Proposed models will be extended to ensure applicability to a variety of electric power grids with different technologies and regulatory issues. The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its ?exibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
关键词： recovery,smart grid,restoration,Natural disaster,resiliency
更新于2025-09-19 17:13:59
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Reinforcement Learning-Based Energy Management of Smart Home with Rooftop Solar Photovoltaic System, Energy Storage System, and Home Appliances
摘要： This paper presents a data-driven approach that leverages reinforcement learning to manage the optimal energy consumption of a smart home with a rooftop solar photovoltaic system, energy storage system, and smart home appliances. Compared to existing model-based optimization methods for home energy management systems, the novelty of the proposed approach is as follows: (1) a model-free Q-learning method is applied to energy consumption scheduling for an individual controllable home appliance (air conditioner or washing machine), as well as the energy storage system charging and discharging, and (2) the prediction of the indoor temperature using an artificial neural network assists the proposed Q-learning algorithm in learning the relationship between the indoor temperature and energy consumption of the air conditioner accurately. The proposed Q-learning home energy management algorithm, integrated with the artificial neural network model, reduces the consumer electricity bill within the preferred comfort level (such as the indoor temperature) and the appliance operation characteristics. The simulations illustrate a single home with a solar photovoltaic system, an air conditioner, a washing machine, and an energy storage system with the time-of-use pricing. The results show that the relative electricity bill reduction of the proposed algorithm over the existing optimization approach is 14%.
关键词： reinforcement learning,smart grid,artificial neural network,smart home,consumer comfort,home energy management system
更新于2025-09-16 10:30:52
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[IEEE 2019 18th International Conference on Optical Communications and Networks (ICOCN) - Huangshan, China (2019.8.5-2019.8.8)] 2019 18th International Conference on Optical Communications and Networks (ICOCN) - Power Supply System of High-voltage Towers Based on Multi-core Energy Transmission Fiber
摘要： In order to ensure the normal operation of the overhead high voltage line, many sensors are arranged on the high-voltage towers to monitor the state of the high voltage cable. However, high-voltage towers cannot directly provide usable power and have strong electromagnetic interference, so special energy supply methods are needed. Compared with traditional methods such as voltage divider and solar power, power-over-fiber (PoF) technology can achieve a safer and more reliable energy supply due to the passive and anti-electromagnetic interference of optical fiber. In this paper, we propose an improved structure of the PoF receiving module to reduce the impact of the environment on the power supply. And we design a multi-core energy transmitting fiber for this structure. Compared with multiple single-core fibers, using multi-core fiber can increase system integration and reduce the cost and construction difficulty.
关键词： energy supply,smart grid,high-voltage tower,multi-core fiber,Power-over-fiber
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Estimate of Performance Ratio and Generated Energy of Grid-Connected Photovoltaic Systems in Paraná
摘要： Recently, energy has been highlighting in global and Brazilian scenarios. This study aims to estimate the performance ratio of grid-connected photovoltaic systems in the Paraná state, in Brazil, for four different photovoltaic technologies, and the annual energy generated. The knowledge of this rate is relevant to determine the performance of these systems. In low temperatures, the polycrystalline silicon systems reached higher performance rates, while in high temperatures, the cadmium telluride systems presented better performance. Concluding, the performance ratio varies in different ways for the photovoltaic technologies studied, according to the temperature. The produced energy in Curitiba was higher in comparison with the other cities, the final amount influences the distribution grid and there is a need of further studies to analyze in deep its impact and adequacy with the smart grids.
关键词： smart grid,photovoltaic system,Paraná,performance ratio
更新于2025-09-16 10:30:52
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[IEEE 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) - Marrakech, Morocco (2019.10.28-2019.10.30)] 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) - Feasibility study of Grid connected Photovoltaic system for electricity generation with peak demand deficit
摘要： Due to great interest in the development of renewable energy technologies in Morocco, this paper studied the performance of a solar photovoltaic grid-connected system located in Rabat, Morocco. Firstly a demand side management strategy has been developed to maximize energy efficiency of the system using a load shifting day-ahead approach. In the second part, an examination of resulted load requirement using a simulation model based on HOMER software is carried out. The analysis of the results has shown that the proposed model is an effective and feasible tool of electricity generation.
关键词： Smart Grid,Optimal generation,Load shifting,Renewable energy,Demand Side Management
更新于2025-09-16 10:30:52
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MV Power Conversion Systems Enabled by High-Voltage SiC Devices [Happenings]
摘要： The current electrical distribution system needs to adapt due to an increase in demand and requirements for a “smarter grid,” which are required because of the proliferation of distributed energy resources (DERs). Transformers form an integral part of these electrical grids, and an upgrade to handle the additional requirements that come along is imperative. Unfortunately, an upgrade in a conventional sense is not possible, so it is time to think beyond conventional transformers. Thanks to recent strides in power electronics research and the availability of high-voltage (HV) silicon carbide (SiC) power semiconductor devices, we can contemplate building a smart “solid-state transformer” to handle the demands of the smart grid. In electrical distribution systems, the transformers convert thousands of volts [medium voltage (MV)] into lower voltages that can be safely used in homes and businesses [1]. With emerging technologies in building and fabricating MV SiC-based power semiconductor devices, MV power conversion on a large-scale scenario seems feasible. While companies, such as Wolfspeed (CREE), General Electric, Infineon Technologies, Mitsubishi, and ROHM, continue to develop and improve these MV semiconductor devices, we at the FREEDM Systems Center are aiming at the application side of things to ensure a market for these power devices.
关键词： SiC devices,smart grid,solid-state transformer,MV power conversion,power conversion
更新于2025-09-16 10:30:52